AI in Education (Stack of micro-credentials)

In this learning stack, educators will build the foundational knowledge and critical thinking skills needed to navigate AI in Education confidently and responsibly. Through a critical lens, educators will evaluate AI-generated content for accuracy and bias, investigate how predictive systems can both support and limit diverse viewpoints, and analyze how AI can amplify societal inequities. The stack also addresses AI's environmental footprint and challenges learners to assess AI use against core ethical values like fairness, transparency, and privacy. On the creative side, educators will experiment with generative AI tools across text, image, and other formats to prototype ideas, refine outputs through iterative collaboration, and consider questions of attribution and ownership.

Source: National Education Association